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Adaptive nonseparable vector lifting scheme for digital holographic data compression

机译:用于数字全息数据压缩的自适应不可分向量提升方案

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摘要

Holographic data play a crucial role in recent three-dimensional imaging as well as microscopic applications. As a result, huge amounts of storage capacity will be involved for this kind of data. Therefore, it becomes necessary to develop efficient hologram compression schemes for storage and transmission purposes. In this paper, we focus on the shifted distance information, obtained by the phase-shifting algorithm, where two sets of difference data need to be encoded. More precisely, a nonseparable vector lifting scheme is investigated in order to exploit the two-dimensional characteristics of the holographic contents. Simulations performed on different digital holograms have shown the effectiveness of the proposed method in terms of bitrate saving and quality of object reconstruction. (C) 2014 Optical Society of America
机译:全息数据在最近的三维成像以及显微应用中起着至关重要的作用。结果,此类数据将涉及大量的存储容量。因此,有必要开发用于存储和传输目的的有效全息图压缩方案。在本文中,我们集中于通过相移算法获得的位移距离信息,其中需要对两组差异数据进行编码。更精确地,研究了不可分离的矢量提升方案,以利用全息内容的二维特征。在不同的数字全息图上进行的仿真显示了该方法在节省比特率和对象重建质量方面的有效性。 (C)2014年美国眼镜学会

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